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qwerrwe / src /axolotl /utils

229 kB

100 contributors

History: 485 commits

seungduk's picture

Train parameters exclusively in specific ranges (#1390)

05bcc9e unverified almost 2 years ago

callbacks
make mlflow optional (#1317) almost 2 years ago
config
Update ChatTemplate enum to include alpaca and gemma (#1396) almost 2 years ago
samplers
support for true batches with multipack (#1230) almost 2 years ago
__init__.py
0 Bytes

WIP large refactor to make finetune script a little more manageable (#3) over 2 years ago
bench.py
2.44 kB

FDSP + QLoRA (#1378) almost 2 years ago
chat_templates.py
2.73 kB

add gemma instruct chat template (#1341) almost 2 years ago
collators.py
9.35 kB

support for true batches with multipack (#1230) almost 2 years ago
data.py
34.8 kB

Support user-defined prompt processing strategies for dpo (#1248) almost 2 years ago
dict.py
327 Bytes

Pydantic 2.x cfg (#1239) almost 2 years ago
distributed.py
7.07 kB

cleanup verbosity a bit about 2 years ago
freeze.py
8.29 kB

Train parameters exclusively in specific ranges (#1390) almost 2 years ago
lora_embeddings.py
375 Bytes

Phi2 multipack (#1173) almost 2 years ago
mlflow_.py
543 Bytes

ADD: push checkpoints to mlflow artifact registry (#1295) [skip ci] almost 2 years ago
models.py
42.6 kB

support for rslora (#1387) [skip ci] almost 2 years ago
schedulers.py
7.66 kB

Scheduler implementation of Continual Pre-Training of Large Language Models: How to (re)warm your model? (#1273) almost 2 years ago
tokenization.py
3.34 kB

Add Glaive conversation format support (#1365) almost 2 years ago
trainer.py
12.1 kB

more fixes 20240228 (#1342) [skip ci] almost 2 years ago
wandb_.py
609 Bytes

Feat(wandb): Refactor to be more flexible (#767) about 2 years ago